sklearn.datasets
.load_sample_image#
- sklearn.datasets.load_sample_image(image_name)[source]#
Load the numpy array of a single sample image.
Read more in the User Guide.
- Parameters:
- image_name{
china.jpg
,flower.jpg
} The name of the sample image loaded.
- image_name{
- Returns:
- img3D array
The image as a numpy array: height x width x color.
Examples
>>> from sklearn.datasets import load_sample_image >>> china = load_sample_image('china.jpg') >>> china.dtype dtype('uint8') >>> china.shape (427, 640, 3) >>> flower = load_sample_image('flower.jpg') >>> flower.dtype dtype('uint8') >>> flower.shape (427, 640, 3)
Examples using sklearn.datasets.load_sample_image
#
Color Quantization using K-Means
Color Quantization using K-Means